Search Results - (( data optimization based algorithm ) OR ( data navigation using algorithm ))
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A data driven approach to wind plant control using moth-flame optimization (MFO) algorithm
Published 2019“…This article presents an investigation of a data driven approach using moth-flame optimization algorithm (MFO) to the problem of improving wind plants power generation. …”
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Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system
Published 2019“…Despite the proven advantages of sampling-based motion planning algorithms, their inability to handle online navigation tasks and providing low-cost solutions make them less efficient in practice. …”
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Design optimization and navigation for autonomous guided vehicle (AGV) in agriculture plantation
Published 2024“…The multi-sensing system, such as the rotary encoder, is the supported sensor to accurately measure the wheel rotation and position. All signal data from the sensor fusion will be processed by the Robot Operating System (ROS) to optimize robot navigation, such as robot movement and data analysis for obstacle avoidance. …”
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Construction and optimization of financial risk management model based on financial data and text data influencing information system
Published 2024“…Westudy how textual data aids financial risk management algorithms' risk prediction. …”
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Energy efficiency mechanism using mobile-based fermat's spiral in wireless sensor networks
Published 2011“…Both ways will try to reduce the famous bottleneck problem that cause wireless sensor nodes energy nearest to base station depleted very quickly. We evaluated the performance of wireless sensor network using minimum spanning tree algorithm specifically Prim’s Algorithm in order to know the bottleneck effect on wireless sensor network and propose a better solution performance based on Fermat Spiral model. …”
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Proceeding Paper -
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Improvement of an integrated global positioning system and inertial navigation system for land navigation application
Published 2012“…In addition, in this work a GPS predictor is developed to incorporate information from the accelerometers and gyroscopes at high rates and information from GPS measurements at low rates to improve the vehicle strapdown inertial navigation system (SDINS) with the aid of GPS. This work also presents a new method for de-noising the GPS and INS data and estimate the INS error using wavelet multi-resolution analysis algorithm (WMRA) based particle swarm optimization (PSO) with a well designed structure appropriate for practical and real time implementations due to its very short optimizing time and elevated accuracy. …”
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A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…A statistical test was used to demonstrate the efficiency of the proposed algorithm over the compared methods. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…This research contributes novel insights into the application of clustering algorithms in banking, proposing pragmatic solutions for efficient data analysis and campaign optimization. …”
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3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm
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Conference or Workshop Item -
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An autonomous wheelchair speed control using fuzzy logic controller / Muhammad Ashraf Mohamad Ghazali
Published 2025“…The simulation was performed to model and validate the FLC with comparing the standards function that is triangular and trapezoidal MFs to determine optimal performance. The hardware integration combines vibration sensor, DC motor with encoders and Arduino Uno microcontroller that supported by Python for real-time data processing, user interface visualization and data storage. …”
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Design and modelling of an autonomous robotic airship with soft computing control
Published 2012“…The GPS and telemetry data were processed using string recognition methods.The processed and filtered telemetry and GPS data were fed to the fuzzy logic system. …”
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Deep Reinforcement Learning For Control
Published 2021“…Potential actions must be taken based on prior experiences using a trial and error process. …”
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Monograph -
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A Development Of An Internet Of Things Equipped Unmanned Ground Vehicle For Surveilance Purpose
Published 2019“…The data stored in the cloud can be retrieved and processed using ThingSpeak software as this software allow user to aggregate, visualize, and analyze live data streams in the cloud. …”
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Design and development of smart parking system based on fog computing and internet of things
Published 2021“…A novel algorithm to obtain the optimal parking spot with the minimum arrival time is also presented. …”
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Model Predictive Controller (MPC) Design for an UAV Quadcopter in Windy Critical Environment
Published 2025“…This research enhances UAV navigation effectiveness and stability through the development of a robust controller—specifically, a cascade Model Predictive Control (MPC) algorithm, optimized for continuous gust conditions as modelled by the Dryden wind turbulence approach. …”
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study
Published 2019“…After choosing the optimal sensor combination for each soil property, the predictive capability was compared using different data mining algorithms, including support vector machines (SVM), random forest (RF), multivariate adaptive regression splines (MARS), and regression trees (CART). …”
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A calibration framework for swarming ASVs' system design
Published 2012“…This paper is concerned with the virtual simulation of Autonomous Surface Vessels (ASVs) named, Drosobots, using virtual simulation software i. e. Webots™, and the pre-deployment in a swimming pool environment based on an improved simplest navigation technique. …”
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The superiority of feasible solutions-moth flame optimizer using valve point loading
Published 2024“…Based on the collected data, SF-MFO demonstrated the best performance across all simulated instances. …”
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Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning
Published 2023“…The primary aim is to quantify human behavior based on learning rates, thereby facilitating improved production control. …”
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